Who wants to live longer and healthier?

Faglige nøgleord: Machine Learning, Public Health, Healthy Lifestyles

Oplæg tilgængeligt på: Engelsk og portugisisk

The global population and life expectancy are projected to increase; however, longer lives are not necessarily a synonym of healthier lives. Thus, it is becoming very important to study ways to achieve lifestyles that promote health by informing societies about effective and easy habits to implement in our daily lives.

My project is about assessing scientific-based paths to healthy lifestyles using Machine Learning techniques. In essence, I aim to study how different diets, physical activity and exposure to chemicals in day-to-day products influence our life span and, more importantly, how we can use this information to build our own healthy and long life.

I will start by explaining Machine Learning with some analogies and examples of its use in society - face recognition, how we get recommendations of videos or songs in the apps that we use... For this I will use menti (online voting/quiz) with some questions to engage students and have an idea of how much they know about the topic. I will then relate ML with my own project and how I am applying it to identifying important variables in our daily lives - which foods are beneficial/detrimental, which exercises have more correlation with good health... and how we can discover it!

In high school, I never had a passion regarding which job I wanted to have; I did a BSc in Biochemistry because at the time I was certain I wanted to contribute to improving people's quality of life through science. I understood I did not like laboratory oriented research and went abroad for a MSc in Chemical Biotechnology as it opened up the possibility of working in industry. During my MSc, I had the opportunity of exploring ML and discovered the potential that data science has in a society where digitalization and Big Data are growing fast. I then decided to go for a PhD that would combine my interest in healthcare with the newly discovered interest in ML. Apart from explaining my project and ML, I also aim to be an example that not everyone knows which path to take in university and how important it is to be informed and explore different fields. 

Fag og faglige nøgleord

Dette oplæg passer for eksempel godt til:

 

Teknologi

 

Nøgleord:

  • Machine Learning
  • Public Health
  • Healthy Lifestyles

Sprog og form på besøget

Klassebesøg eller foredrag?

Dette oplæg kan tilpasses enten til en klasse (op til ca. 28 elever), hvor den ph.d.-studerende har mulighed for at have dialog med eleverne.

 

Sprog?

Dette oplæg er tilgængeligt på engelsk og portugisisk.

 

Digitalt eller fysisk besøg?

Den ph.d.-studerende kommer gerne ud på jeres skole til et fysisk besøg, men møder jer også digitalt via platformen Zoom, hvis I foretrækker det.

Øvrig information

Dette oplæg er ikke tilgængeligt fra juni 2024 og frem til september 2024.

Er du interesseret i dette oplæg?

Kontakt

Taja Andersen Brenneche
Kommunikationsmedarbejder
AKM
45 25 10 57
https://bookphd.dtu.dk/find-foredrag/alle-foredrag-liste/who-wants-to-live-longer-and-healthier
3 APRIL 2025